The global AI in telecommunication is growing continually. AI in telecommunication enables intelligent decision making to manage dynamic network traffic & resources and brings automation in the industry, allowing reduced operational cost and increased efficiency. The market growth attributes to increasing demand for autonomously driven network solutions. Besides, telecom networks expanding in size increase market demand.
Moreover, the need for highly sophisticated, intelligent, and autonomous network driven solutions using artificial intelligence escalates market growth. According to Market Research Future (MRFR), the AI in Telecommunication Market is poised to reach approximately USD 1 BN by 2023, growing at a massive 32% CAGR throughout the review period (2018 to 2023).
Digital transformation in various applications increases the use of AI-driven solutions in telecommunication. Additionally, the rising need for strategy and tools to collect and analyze a large amount of data among telecom service providers to provide attractive services and improve customer retention creates substantial market demand. This data helps to get insights into network performance, helping to reduce customer churn and increase profitability.
Furthermore, other data sources, such as user call reports and network data, increase the global AI in telecommunication market size. Therefore, there is an increasing need for data-driven solutions, which drive the growth of the AI in telecom market. Besides, the increasing usages of advanced machine learning, deep learning, and natural language processing in telecom accelerate market growth.
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AI in Telecommunication Market - Segments
The report is segmented into five dynamics;
By Component : Solutions (network optimization, network security, SDN (software-defined network) & NFV (network function virtualization), others) and Services (professional and managed services).
By Deployment : On-Premise and On-Cloud.
By Technology : Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP), and others.
By Application : Traffic Classification, Resource Utilization & Network Optimization, Anomaly Detection, Predictive Maintenance, Network Orchestration, and others.
By Regions : Americas, Europe, Asia Pacific, and the Rest-of-the-World.
AI in Telecommunication Market - Regional Analysis
North America dominates the global AI in telecommunication market. The leading market share attributes to the presence of several key players such as IBM, Microsoft, and Cisco Systems, providing AI-enabled solutions for the telecommunication industry. Besides, the increasing implementation of cutting-edge technology and the penetration of the Internet and smartphones substantiate the regional market growth.
The increasing spending on R&D of AI algorithms and technologies such as machine learning, NLP, and others increases market size. The North American AI in telecommunication market is projected to retain its dominance throughout the forecast period.
Europe holds the second-largest share in the global AI in telecommunication market. The market growth is driven by the presence of various notable players and large deployments of AI technologies in telecom platforms. Additionally, the rising numbers of telephonic services act as a major tailwind for the growth of the regional market. The European AI in telecommunication market is predicted to create a substantial revenue pocket during the assessment period.
The Asia Pacific AI in telecommunication market is growing rapidly. Factors such as digital transformation and the use of AI-driven telecom solutions in various countries drive the market growth in the region. The rising adoption of AI technology to enhance customer satisfaction and operational performance boost the growth of the regional market.
Substantial investments made by key players in the development of AI technology in telecom platforms positively impact the growth of the regional market. With the large AI in telecommunication industry, China and India account for the major share in the regional market. The APAC AI in telecommunication market is expected to grow at a significant rate during the forecast period.
AI in Telecommunication Market - Competitive Analysis
Highly competitive, the AI in telecommunication market appears fragmented due to the presence of several well-established players. Mergers & acquisitions, innovation, and brand reinforcement remain prevailing key trends for the leading players as these strategies support their growth and expansion plans. They deliver reliable, leading-edge products and services. For which they invest substantially in R&D to develop adept technologies and products.
Major Players:
Players leading the AI in telecommunication market include IBM Corporation (US), Huawei Technologies Co. Ltd (China), Microsoft Corporation (US), Cisco Systems (US), Intel Corporation (US), Nuance Communication (US), H2O.ai (US), ZTE Corporation (China), Salesforce (US), Google LLC (US), and Infosys Limited (India), among others.
Industry/Innovation/Related News:
September 28, 2020 --- Technology giant Microsoft Corporation (the US) announced that it is partnering with the telecommunications industry to enable 5G networks and more. The increasing demand for improved connectivity, immersive experiences, secure collaboration, and remote human relationships pushes networks to their limits while driving down the market price.
The network infrastructure must ensure operators can optimize costs and gain efficiencies while enabling personalized and differentiated services. To address the 5G requirements, operators face strong challenges, such as high capital expenditure (CapEx) investments, an increased need for scale, automation, and secure management of the massive volume of data it will generate.
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The Spirulina Market is expected to grow at a CAGR of 10.3% from 2020-2030, according to a new research report by Next Move Strategy ConsultingSpirulina is a blue green algae with high nutrient content, usually consumed by human & animals.
It is also used as a complementary diet ingredient in aquaculture & poultry feeds owing to the presence of high protein & vitamin content.According to the report, growth in health consciousness among people and the rising demand for dietary supplements are major factors driving the spirulina market growth.
Additionally, high penetration of spirulina in industries such as cosmetics and pharmaceutical owing to the advantageous properties such as anti-aging, anti-wrinkles and othersare bringing changes in market tends.However, low stability & poor sustainability of spirulina derived colours is expected to restrict the market growth.Moreover, growth in research & development activities followed by untapped market opportunities in developing economies are anticipated to provide numerous opportunities to the market players in the coming few years.On the basis of type, spirulina market share is segmented into Arthrospira Platensis and Arthrospira Maxima.
Arthrospira Maxima dominates the global Spirulina market and will be the dominant throughout the forecasted period.On the basis of application, the Spirulina market is categorised into Nutraceuticals, Food & Beverages, Cosmetics, Animal Feed, and Others.Food & Beverages segment is likely to develop significantly over the period of time owing to fast growing food & beverage industry.On the basis of drug formulation, the spirulina market is bifurcated into Powder, Tablet & Capsule, Liquid, and Granule & Gelling Agent.
Powder segment is expected to account for the major market share & dominate the market growth over the forecast period.North America dominates the spirulina market in terms of market size over the forecast period, owing to rising health consciousness among people.
Hansen Holding A/S, Algenol Biofuels Inc., Dongtai City Spirulina Bio-engineering Co., Ltd., Prolgae, Parry Neutraceuticals, Sensient Technologies Corporation, DDW Inc., Algatec and Naturex S.A.Browse key industry insights from the report, “Spirulina Market Size By Type (ArthrospiraPlatensis and Arthrospira Maxima) By Application (Nutraceuticals, Food & Beverages, Cosmetics, Animal Feed, and Others), By Drug Formulation (Powder, Tablet & Capsule, Liquid, and Granule & Gelling Agent)Regional Outlook (U.S., Canada, Germany, UK, France, Spain, Italy, Russia, China, India, Japan, Australia, Indonesia, Malaysia, South Korea, Brazil, Mexico, South Africa, Saudi Arabia, UAE, Kuwait), Growth Potential, Price Trends, Competitive Market Share & Forecast, 2020–2030” in detail along with the table of contents:Key Insights from the Spirulina Market Report:Asia Pacific is the fastest growing region in Spirulina market owing to the rising demand of spirulina from various industries such as cosmetics, food , healthcare and others and government initiatives to promote local spirulina production.The Food & Beverages segment dominates the market in terms of application and is expected to grow at a significant CAGR to maintain the lead till 2030.Some of the major players in the market are DIC Corporation, Cyanotech Corporation, Chr.
In 2017, the global AI/Machine Learning market size was million US$ and it is expected to reach million US$ by the end of 2025, with a CAGR of during 2018-2025.This report focuses on the global AI/Machine Learning status, future forecast, growth opportunity, key market and key players.
The study objectives are to present the AI/Machine Learning development in United States, Europe and China.Access the PDF sample of the report @ https://www.orbisresearch.com/contacts/request-sample/2339368The key players covered in this studyGOOGLEIBMBAIDUSOUNDHOUNDZEBRA MEDICAL VISIONPRISMAIRIS AIPINTERESTTRADEMARKVISIONDESCARTES LABSAmazonMarket segment by Type, the product can be split intoTensorFlowCaffe2Apache MXNetMarket segment by Application, split intoAutomotiveSantific ResearchBig DateOtherMarket segment by Regions/Countries, this report coversUnited StatesEuropeChinaJapanSoutheast AsiaIndiaCentral & South AmericaThe study objectives of this report are:To analyze global AI/Machine Learning status, future forecast, growth opportunity, key market and key players.To present the AI/Machine Learning development in United States, Europe and China.To strategically profile the key players and comprehensively analyze their development plan and strategies.To define, describe and forecast the market by product type, market and key regions.In this study, the years considered to estimate the market size of AI/Machine Learning are as follows:History Year: 2013-2017Base Year: 2017Estimated Year: 2018Forecast Year 2018 to 2025For the data information by region, company, type and application, 2017 is considered as the base year.
Whenever data information was unavailable for the base year, the prior year has been considered.Browse the full report @ https://www.orbisresearch.com/reports/index/global-ai-machine-learning-market-size-status-and-forecast-2018-2025Table of ContentsChapter One: Report Overview1.1 Study Scope1.2 Key Market Segments1.3 Players Covered1.4 Market Analysis by Type1.4.1 Global AI/Machine Learning Market Size Growth Rate by Type (2013-2025)1.4.2 TensorFlow1.4.3 Caffe21.4.4 Apache MXNet1.5 Market by Application1.5.1 Global AI/Machine Learning Market Share by Application (2013-2025)1.5.2 Automotive1.5.3 Santific Research1.5.4 Big Date1.5.5 Other1.6 Study Objectives1.7 Years ConsideredChapter Two: Global Growth Trends2.1 AI/Machine Learning Market Size2.2 AI/Machine Learning Growth Trends by Regions2.2.1 AI/Machine Learning Market Size by Regions (2013-2025)2.2.2 AI/Machine Learning Market Share by Regions (2013-2018)2.3 Industry Trends2.3.1 Market Top Trends2.3.2 Market Drivers2.3.3 Market OpportunitiesChapter Three: Market Share by Key Players3.1 AI/Machine Learning Market Size by Manufacturers3.1.1 Global AI/Machine Learning Revenue by Manufacturers (2013-2018)3.1.2 Global AI/Machine Learning Revenue Market Share by Manufacturers (2013-2018)3.1.3 Global AI/Machine Learning Market Concentration Ratio (CRChapter Five: and HHI)3.2 AI/Machine Learning Key Players Head office and Area Served3.3 Key Players AI/Machine Learning Product/Solution/Service3.4 Date of Enter into AI/Machine Learning Market3.5 Mergers & Acquisitions, Expansion PlansChapter Four: Breakdown Data by Type and Application4.1 Global AI/Machine Learning Market Size by Type (2013-2018)4.2 Global AI/Machine Learning Market Size by Application (2013-2018)Chapter Five: United States5.1 United States AI/Machine Learning Market Size (2013-2018)5.2 AI/Machine Learning Key Players in United States5.3 United States AI/Machine Learning Market Size by Type5.4 United States AI/Machine Learning Market Size by ApplicationChapter Six: Europe6.1 Europe AI/Machine Learning Market Size (2013-2018)6.2 AI/Machine Learning Key Players in Europe6.3 Europe AI/Machine Learning Market Size by Type6.4 Europe AI/Machine Learning Market Size by ApplicationChapter Seven: China7.1 China AI/Machine Learning Market Size (2013-2018)7.2 AI/Machine Learning Key Players in China7.3 China AI/Machine Learning Market Size by Type7.4 China AI/Machine Learning Market Size by ApplicationChapter Eight: Japan8.1 Japan AI/Machine Learning Market Size (2013-2018)8.2 AI/Machine Learning Key Players in Japan8.3 Japan AI/Machine Learning Market Size by Type8.4 Japan AI/Machine Learning Market Size by ApplicationChapter Nine: Southeast Asia9.1 Southeast Asia AI/Machine Learning Market Size (2013-2018)9.2 AI/Machine Learning Key Players in Southeast Asia9.3 Southeast Asia AI/Machine Learning Market Size by Type9.4 Southeast Asia AI/Machine Learning Market Size by ApplicationChapter Ten: India10.1 India AI/Machine Learning Market Size (2013-2018)10.2 AI/Machine Learning Key Players in India10.3 India AI/Machine Learning Market Size by Type10.4 India AI/Machine Learning Market Size by ApplicationChapter Eleven: Central & South America11.1 Central & South America AI/Machine Learning Market Size (2013-2018)11.2 AI/Machine Learning Key Players in Central & South America11.3 Central & South America AI/Machine Learning Market Size by Type11.4 Central & South America AI/Machine Learning Market Size by ApplicationChapter Twelve: International Players Profiles12.1 GOOGLE12.1.1 GOOGLE Company Details12.1.2 Company Description and Business Overview12.1.3 AI/Machine Learning Introduction12.1.4 GOOGLE Revenue in AI/Machine Learning Business (2013-2018)12.1.5 GOOGLE Recent Development12.2 IBM12.2.1 IBM Company Details12.2.2 Company Description and Business Overview12.2.3 AI/Machine Learning Introduction12.2.4 IBM Revenue in AI/Machine Learning Business (2013-2018)12.2.5 IBM Recent Development12.3 BAIDU12.3.1 BAIDU Company Details12.3.2 Company Description and Business Overview12.3.3 AI/Machine Learning Introduction12.3.4 BAIDU Revenue in AI/Machine Learning Business (2013-2018)12.3.5 BAIDU Recent Development12.4 SOUNDHOUND12.4.1 SOUNDHOUND Company Details12.4.2 Company Description and Business Overview12.4.3 AI/Machine Learning Introduction12.4.4 SOUNDHOUND Revenue in AI/Machine Learning Business (2013-2018)12.4.5 SOUNDHOUND Recent Development12.5 ZEBRA MEDICAL VISION12.5.1 ZEBRA MEDICAL VISION Company Details12.5.2 Company Description and Business Overview12.5.3 AI/Machine Learning Introduction12.5.4 ZEBRA MEDICAL VISION Revenue in AI/Machine Learning Business (2013-2018)12.5.5 ZEBRA MEDICAL VISION Recent Development12.6 PRISMA12.6.1 PRISMA Company Details12.6.2 Company Description and Business Overview12.6.3 AI/Machine Learning Introduction12.6.4 PRISMA Revenue in AI/Machine Learning Business (2013-2018)12.6.5 PRISMA Recent Development12.7 IRIS AI12.7.1 IRIS AI Company Details12.7.2 Company Description and Business Overview12.7.3 AI/Machine Learning Introduction12.7.4 IRIS AI Revenue in AI/Machine Learning Business (2013-2018)12.7.5 IRIS AI Recent Development12.8 PINTEREST12.8.1 PINTEREST Company Details12.8.2 Company Description and Business Overview12.8.3 AI/Machine Learning Introduction12.8.4 PINTEREST Revenue in AI/Machine Learning Business (2013-2018)12.8.5 PINTEREST Recent Development12.9 TRADEMARKVISION12.9.1 TRADEMARKVISION Company Details12.9.2 Company Description and Business Overview12.9.3 AI/Machine Learning Introduction12.9.4 TRADEMARKVISION Revenue in AI/Machine Learning Business (2013-2018)12.9.5 TRADEMARKVISION Recent Development12.10 DESCARTES LABS12.10.1 DESCARTES LABS Company Details12.10.2 Company Description and Business Overview12.10.3 AI/Machine Learning Introduction12.10.4 DESCARTES LABS Revenue in AI/Machine Learning Business (2013-2018)12.10.5 DESCARTES LABS Recent Development12.11 AmazonChapter Thirteen: Market Forecast 2018-202513.1 Market Size Forecast by Regions13.2 United States13.3 Europe13.4 China13.5 Japan13.6 Southeast Asia13.7 India13.8 Central & South America13.9 Market Size Forecast by Product (2018-2025)13.10 Market Size Forecast by Application (2018-2025)Chapter Fourteen: Analyst's Viewpoints/ConclusionsChapter Fifteen: Appendix15.1 Research Methodology15.1.1 Methodology/Research Approach15.1.1.1 Research Programs/Design15.1.1.2 Market Size Estimation12.1.1.3 Market Breakdown and Data Triangulation15.1.2 Data Source15.1.2.1 Secondary Sources15.1.2.2 Primary Sources15.2 Disclaimer15.3 Author DetailsDirect purchase the report @ https://www.orbisresearch.com/contact/purchase-single-user/2339368About Us:Orbis Research (orbisresearch.com) is a single point aid for all your market research requirements.
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